Generative adversarial networks (GANs) [1]} have obtained remarkable achievements in image generation. Researchers have made great efforts to design various architectures of GANs [2]}, [3]}, [4]}. However, due to the instability of the GAN training, designing GANs by humans usually requires much expertise and laborious trial-and-error.
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